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Figure 9 | EPJ Nonlinear Biomedical Physics

Figure 9

From: Extracting novel information from neuroimaging data using neural fields

Figure 9

(Left panel) Sensitivity analyses of synthetic data. This figure shows the conditional estimates of the inverse conduction speed parameter, υ. These estimates were obtained from simulated data sets generated using υ as per Table 1, with a log-scaling from −1 to 1. We illustrate the agreement between the true parameter value (dotted line) and its conditional estimate. The bars represent 90% conditional confidence intervals. (Right panel) Parameter estimates obtained using LFP data. We show here the conditional estimates (90% confidence intervals) of the neural field model parameters using empirical data from a single trial recording of auditory responses in the rat. The estimates lie close to the prior values (a log-scaling of zero), which were motivated by animal physiological studies [24].

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